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By applying two preprocessing methods, data transformation and clustering, the data were prepared for the learning algorithms.
The data were prepared for machine learning methods by spatially normalizing the images into MNI space and resampling to 3×3×6 mm3 voxels.
The data were prepared using Stata version 11 (Statacorp LP, Texas).
The data were prepared by identifying HC clients in Ontario where the data from recent years were available.
This section provides a summary of cancer registration in England and Wales, an explanation of how the cancers and deprivation groups were defined, and a description of how the data were prepared for analysis.
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The data was prepared by Statistics Finland, an organisation that publishes official Finnish road safety statistics [14].
Therefore, all the data are prepared from one groundwater system that its formation type is alluvial; as a result, the geostatistical method can show their correlation as well.
Once normalized, the data was prepared for DNA segmentation analysis.
Following this, a summary of the data was prepared, and categorized according to the revised framework.
The data was prepared for analysis by correcting for background intensity.
The data was prepared for modelling using 5-fold cross validation.
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the datasets were prepared
the instructions were prepared
the data were implemented
the data were compared
the figures were prepared
the database were prepared
the evidence were prepared
the players were prepared
the data were seen
the comics were prepared
the data were released
the data was prepared
the passengers were prepared
the owners were prepared
the data were gathered
the birds were prepared
the guests were prepared
the recruits were prepared
the reports were prepared
the data were drawn
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Justyna Jupowicz-Kozak
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